FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

HTTP adaptive video streaming is a widespread and sought-after technology on the Internet that allows clients to dynamically switch between different stream qualities presented in the bitrate ladder to optimize overall received video quality. Currently, there exist several approaches of different co...

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Bibliographic Details
Main Authors: Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, Radu Prodan
Format: Article
Language:English
Published: FRUCT 2021-10-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
per-title encoding
per-shot encoding
scene detection
video entropy
neural networks
video encoding
video transcoding
http adaptive streaming
mpeg-dash
Online Access:https://www.fruct.org/publications/fruct30/files/Zab.pdf

Internet

https://www.fruct.org/publications/fruct30/files/Zab.pdf

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